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2020 – today
- 2023
[i72]Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu:
Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception. CoRR abs/2302.01295 (2023)- [i71]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR abs/2302.04858 (2023) - [i70]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRR abs/2302.12422 (2023) - 2022
- [j6]Yifeng Zhu
, Peter Stone, Yuke Zhu:
Bottom-Up Skill Discovery From Unsegmented Demonstrations for Long-Horizon Robot Manipulation. IEEE Robotics Autom. Lett. 7(2): 4126-4133 (2022) - [c64]Zihua Xiong, Yumeng Ruan, Yifei Hu, Yue Zhang, Yuke Zhu, Sheng Guo, Bing Han:
1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition. CLEF (Working Notes) 2022: 2227-2237 - [c63]Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu:
VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. CoRL 2022: 1199-1210 - [c62]Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. CoRL 2022: 2181-2204 - [c61]Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu:
Ditto: Building Digital Twins of Articulated Objects from Interaction. CVPR 2022: 5606-5616 - [c60]Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu:
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. CVPR 2022: 17231-17241 - [c59]Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar:
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. CVPR 2022: 19034-19043 - [c58]Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar:
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. ICLR 2022 - [c57]Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone:
Causal Dynamics Learning for Task-Independent State Abstraction. ICML 2022: 23151-23180 - [c56]Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang:
Visually Grounded Task and Motion Planning for Mobile Manipulation. ICRA 2022: 1925-1931 - [c55]Soroush Nasiriany, Huihan Liu, Yuke Zhu:
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. ICRA 2022: 7477-7484 - [c54]Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu:
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. ICRA 2022: 10519-10526 - [i69]Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. CoRR abs/2202.01771 (2022) - [i68]Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu:
Ditto: Building Digital Twins of Articulated Objects from Interaction. CoRR abs/2202.08227 (2022) - [i67]Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang:
Visually Grounded Task and Motion Planning for Mobile Manipulation. CoRR abs/2202.10667 (2022) - [i66]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. CoRR abs/2203.06856 (2022) - [i65]Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar:
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. CoRR abs/2204.11167 (2022) - [i64]Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu:
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles. CoRR abs/2205.02222 (2022) - [i63]Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar:
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. CoRR abs/2205.13803 (2022) - [i62]Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar:
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. CoRR abs/2206.08853 (2022) - [i61]Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone:
Causal Dynamics Learning for Task-Independent State Abstraction. CoRR abs/2206.13452 (2022) - [i60]Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu:
Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments. CoRR abs/2209.09233 (2022) - [i59]Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan:
VIMA: General Robot Manipulation with Multimodal Prompts. CoRR abs/2210.03094 (2022) - [i58]Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu:
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors. CoRR abs/2210.11339 (2022) - [i57]Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. CoRR abs/2210.11435 (2022) - [i56]Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu:
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. CoRR abs/2211.08416 (2022) - [i55]Hanwen Jiang, Zhenyu Jiang, Kristen Grauman, Yuke Zhu:
Few-View Object Reconstruction with Unknown Categories and Camera Poses. CoRR abs/2212.04492 (2022) - 2021
- [c53]Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRL 2021: 406-416 - [c52]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRL 2021: 1678-1690 - [c51]Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei:
Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales. CVPR 2021: 5393-5402 - [c50]Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. ICCV 2021: 3386-3396 - [c49]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. ICLR 2021 - [c48]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. ICML 2021: 3088-3099 - [c47]Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar:
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. ICML 2021: 6860-6870 - [c46]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML 2021: 7301-7312 - [c45]Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg:
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. ICRA 2021: 909-916 - [c44]Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA 2021: 5200-5207 - [c43]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. ICRA 2021: 6206-6213 - [c42]Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu:
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. ICRA 2021: 6541-6548 - [c41]Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu:
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. ICRA 2021: 7540-7547 - [c40]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. ICRA 2021: 9212-9219 - [c39]Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency:
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning. NeurIPS Datasets and Benchmarks 2021 - [c38]Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. Robotics: Science and Systems 2021 - [c37]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. Robotics: Science and Systems 2021 - [i54]Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei:
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales. CoRR abs/2103.11781 (2021) - [i53]Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. CoRR abs/2104.01542 (2021) - [i52]Shiyi Lan, Zhiding Yu, Christopher Bongsoo Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. CoRR abs/2105.06464 (2021) - [i51]Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar:
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition. CoRR abs/2105.08692 (2021) - [i50]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR abs/2106.00136 (2021) - [i49]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. CoRR abs/2106.09678 (2021) - [i48]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. CoRR abs/2106.13935 (2021) - [i47]Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency:
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning. CoRR abs/2107.07502 (2021) - [i46]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRR abs/2108.03298 (2021) - [i45]Yifeng Zhu, Peter Stone, Yuke Zhu:
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation. CoRR abs/2109.13841 (2021) - [i44]Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu:
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. CoRR abs/2110.00704 (2021) - [i43]Soroush Nasiriany, Huihan Liu, Yuke Zhu:
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. CoRR abs/2110.03655 (2021) - [i42]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR abs/2110.14538 (2021) - [i41]Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRR abs/2111.07999 (2021) - 2020
- [j5]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39(2-3) (2020) - [j4]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. IEEE Trans. Robotics 36(3): 582-596 (2020) - [c36]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRL 2020: 883-894 - [c35]Yuke Zhu, Yan Bai, Yichen Wei:
Spherical Feature Transform for Deep Metric Learning. ECCV (19) 2020: 420-436 - [c34]Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei:
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition. ECCV (19) 2020: 505-521 - [c33]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. ICRA 2020: 7278-7285 - [c32]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. ICRA 2020: 10059-10066 - [c31]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. IJCAI 2020: 4190-4198 - [c30]Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar:
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. NeurIPS 2020 - [c29]Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg:
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. UAI 2020: 1378-1387 - [i40]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. CoRR abs/2007.00350 (2020) - [i39]Yuke Zhu, Yan Bai, Yichen Wei:
Spherical Feature Transform for Deep Metric Learning. CoRR abs/2008.01469 (2020) - [i38]Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg:
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. CoRR abs/2008.07087 (2020) - [i37]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRR abs/2009.10019 (2020) - [i36]Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín:
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning. CoRR abs/2009.12293 (2020) - [i35]Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar:
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CoRR abs/2010.00763 (2020) - [i34]Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR abs/2011.07748 (2020) - [i33]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. CoRR abs/2011.08424 (2020) - [i32]Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg:
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. CoRR abs/2012.00201 (2020) - [i31]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Human-in-the-Loop Imitation Learning using Remote Teleoperation. CoRR abs/2012.06733 (2020) - [i30]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. CoRR abs/2012.06738 (2020) - [i29]Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu:
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. CoRR abs/2012.07277 (2020) - [i28]Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu:
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. CoRR abs/2012.12209 (2020)
2010 – 2019
- 2019
- [b1]Yuke Zhu:
Closing the perception-action loop: towards general-purpose robot autonomy. Stanford University, USA, 2019 - [c28]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRL 2019: 42-52 - [c27]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CVPR 2019: 3343-3352 - [c26]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. CVPR 2019: 8565-8574 - [c25]William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. ICCV 2019: 2881-2890 - [c24]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. ICRA 2019: 8943-8950 - [c23]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. IROS 2019: 1048-1055 - [c22]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. IROS 2019: 2635-2642 - [c21]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. NeurIPS 2019: 1317-1327 - [i27]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CoRR abs/1901.04780 (2019) - [i26]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. CoRR abs/1907.13098 (2019) - [i25]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. CoRR abs/1908.06769 (2019) - [i24]William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. CoRR abs/1908.09073 (2019) - [i23]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. CoRR abs/1909.12989 (2019) - [i22]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. CoRR abs/1909.13003 (2019) - [i21]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. CoRR abs/1909.13072 (2019) - [i20]Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Causal Induction from Visual Observations for Goal Directed Tasks. CoRR abs/1910.01751 (2019) - [i19]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. CoRR abs/1910.10750 (2019) - [i18]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. CoRR abs/1910.11977 (2019) - [i17]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRR abs/1910.13395 (2019) - [i16]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. CoRR abs/1911.04052 (2019) - 2018
- [c20]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. CoRL 2018: 767-782 - [c19]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRL 2018: 879-893 - [c18]Yongkai Cai, Xu Zhang, Zelong Zheng, Limin Zhu, Yuke Zhu:
Digital Template System for Measuring Turbine Blade Forging and Its Calibration Method. ICIRA (1) 2018: 342-353 - [c17]Yuke Zhu, Xu Zhang, Limin Zhu, Yongkai Cai:
Point Pair Features Based Object Recognition with Improved Training Pipeline. ICIRA (2) 2018: 357-366 - [c16]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. ICRA 2018: 1-8 - [c15]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems 2018 - [c14]Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess:
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. Robotics: Science and Systems 2018 - [i15]Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess:
Reinforcement and Imitation Learning for Diverse Visuomotor Skills. CoRR abs/1802.09564 (2018) - [i14]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov,